We are looking for a creative, technically confident, and highly organised Digital Content, Web & Automation Specialist to manage our digital platforms, strengthen our online presence, and improve internal workflows through automation and AI.

Key Responsibilities

Website & Content Management

• Manage and update website content using common Content Management Systems (CMS).
• Ensure all content is optimised for desktops, tablets, and smartphones.
• Organise website pages, navigation menus, and content categories to create a smooth user experience.
• Troubleshoot basic website layout and content-display issues.
• Apply on-page SEO best practices, including heading structures, image alt text, metadata, canonical tags, and robots settings.
• Use basic HTML and CSS when required.

Design & Brand Management

• Create attractive and professional digital content using Canva, Adobe Creative Suite, or similar software.
• Apply modern UI/UX principles, including white space, visual hierarchy, typography, colour, and contrast.
• Adapt designs and marketing assets for websites, social media, email campaigns, and other digital platforms.
• Maintain consistent use of the company’s brand colours, fonts, tone of voice, and visual identity.
• Ensure all published content is visually appealing, accurate, and aligned with brand guidelines.

Automation & System Integration

• Build and manage automated workflows using platforms such as Zapier, Zoho Flow, Pabbly, Make, or similar tools.
• Connect applications using APIs, webhooks, triggers, and automated actions.
• Set up systems that distribute content across multiple platforms and communication channels.
• Map data accurately between different applications and platforms.
• Monitor automated workflows, identify errors, and make improvements when required.

AI Tools & Agent Development

• Create detailed and effective prompts for tools such as ChatGPT, Gemini, Claude, and Midjourney.
• Use AI tools to generate and improve written content, images, ideas, and basic code.
• Build specialised AI assistants or agents using no-code and low-code platforms.
• Apply basic Retrieval-Augmented Generation (RAG) methods using company information, documents, and website content.
• Integrate AI assistants into automated business workflows.
• Test and improve AI-generated outputs to ensure accuracy, relevance, and brand consistency